Senior Data Scientist

Bullet points

Opportunity to work with India's largest third party logistics provider

Opportunity to work with the country's premium data science team

About Our Client

The client is India's largest and most profitable fulfilment company for digital commerce.

Job Description

Collaborate with cross-functional teams including but not limited to Engineering, Products, Operations, Sales, Marketing, Security, Customer Service, etc. to breakdown complex business problems and recommend data science products
Translate business processes to mathematical models
Take ownership of a project and be able to work independently with little supervision
Formulate and solve Operational Research problems aimed at optimizing the company's supply chain network and automating daily operations
Use statistical methods for analysing large datasets
Code system prototypes in an object oriented language or scripting/modeling language
Disseminate original research in peer reviewed journals and conferences

The Successful Applicant

Degree (B.Tech, MS, PhD or equivalent) in Computer Science, Mathematics, Operational Research, Statistics or Natural Sciences
1-7 years of work experience in data science and statistical modeling for DS, 3+ for Sr. DS
A very clear understanding of probability and statistics, analytical approach to problem solving, and capability to think critically on a diverse array of problems
Practical and Theoretical knowledge of OR Tools: Mathematical Programming (Linear/Non-linear techniques), Graph Theory, Simulation, Convex Optimisation, Transportation Problem, Vehicle Routing Problem, Facility Location Problem, Queuing Theory, Inventory Management, Forecasting Techniques, etc.
Knowledge about meta-heuristics like Genetic Algorithm, Tabu Search, Simulated Annealing, etc would be beneficial.
Understanding of Mixed Integer Programming techniques to leverage commercially available libraries such as CPLEX, COIN-OR, Google OR-Tools, R and adapt them as required
Familiarity with statistical methods such as hypothesis testing, forecasting, time series analysis, etc - gained through work experience or graduate level education
Expertise in at least one of the following languages: Python, Java, C++
Experience with relational databases NoSQL databases such as MongoDB, Elastic Search, Redis or any graph database
Experience in handling geospatial data such as PostGIS will be appreciated
Skilled at data visualization and presentation
Good communication skills with both technical and business people
Experience with big data tools like Spark, Hadoop is a plus
Publications in peer-reviewed journals will count in your favour
Most importantly, an inquisitive mind, an ability for self learning and abstraction along with a risk appetite for experimentation and failure

What's on Offer

On offer are a wide range of interesting problems in the optimisation and machine learning space along with a very good team and a lot of freedom for experimentation.